North Korea vs Turkmenistan: prediction and stats
World Cup - Qualification AsiaGroup H - 10Kick-off on June 15, 2021 at 06:00 AM (UTC)Goyang Stadium, Goyang
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, North Korea have 4 wins, 4 draws and 7 defeats; Turkmenistan have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2019 | Lebanon(away) | 0-0 | World Cup - Qualification Asia |
| Nov 14, 2019 | Turkmenistan(away) | 1-3 | World Cup - Qualification Asia |
| Oct 15, 2019 | South Korea(home) | 0-0 | World Cup - Qualification Asia |
| Sep 10, 2019 | Sri Lanka(away) | 1-0 | World Cup - Qualification Asia |
| Sep 5, 2019 | Lebanon(home) | 2-0 | World Cup - Qualification Asia |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2021 | Lebanon(home) | 3-2 | World Cup - Qualification Asia |
| Jun 5, 2021 | South Korea(away) | 0-5 | World Cup - Qualification Asia |
| Nov 19, 2019 | Sri Lanka(home) | 2-0 | World Cup - Qualification Asia |
| Nov 14, 2019 | North Korea(home) | 3-1 | World Cup - Qualification Asia |
| Oct 15, 2019 | Kuwait(away) | 1-1 | Friendlies |
What does the head-to-head say?
Across the last 1 meetings: 0 North Korea win(s), 0 draw(s), 1 Turkmenistan win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 14, 2019 | Turkmenistan 3-1 North Korea | World Cup - Qualification Asia |
Last archived meeting: Turkmenistan vs North Korea on Nov 14, 2019
How many goals should we expect?
North Korea score 0.8 and concede 1.9 goals per match over their last 15; Turkmenistan score 1.4 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| North Korea | 0.8 | 1.9 | 6 | 4/15 | 7/15 |
| Turkmenistan | 1.4 | 1.9 | 3 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy